Skip to content

Build and Deploy a Sentiment Analysis Model on Amazon SageMaker

Notifications You must be signed in to change notification settings

sumanth-vs/udacity_sagemaker

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Udacity SageMaker Sentiment Analysis Project

Creating a Sentiment Analysis Web App(Deployement) Using PyTorch and SageMaker

General Outline:

  1. Download the dataset
  2. Process / Prepare the data.
  3. Upload the processed data to S3.
  4. Train a chosen model.
  5. Test the trained model (using a batch transform job).
  6. Deploy the trained model.
  7. Use the deployed model.

About

Build and Deploy a Sentiment Analysis Model on Amazon SageMaker

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published